Doktorand i datavetenskap
Core
Developing robust, reliable Vision-Language-Action (VLA) systems for robots using embodied AI, large reasoning models, and symbolic/semantic world models to handle complex tasks with uncertainty.
Role type
PhD Researcher in Robotics and AI
Builds
Research prototypes and publications on reliable robot planning and decision-making
Domain
Robotics, Artificial Intelligence, Machine Learning
Deliverable
research
Required skills
Embodied AI, Robot learning, Vision-Language-Action systems, Large Reasoning Models (LRM), Out-of-distribution detection, Uncertainty estimation, Symbolic and semantic world modeling, Robot manipulation, Python/C++ (implied by implementation), ROS 2
Preferred skills
Experience with Large Language Models (LLM), Prior research in robotics or AI
Technologies
ROS 2, KUKA iiwa, UR5e, GPU clusters, Simulation environments
Responsibilities
Conduct research in embodied AI and robot learning, Develop symbolic and semantic world models for robot planning, Integrate large reasoning models with VLA systems, Implement and evaluate robots on physical platforms, Publish results in international conferences, Collaborate with industry partners, Teach and participate in institutional work (max 20%)
Seniority
PhD Candidate (Researcher)
